We present DepthFM, a state-of-the-art, versatile, and fast monocular depth estimation model. DepthFM is efficient and can synthesize realistic depth maps within a single inference step. Beyond ...

DepthAnything-AC is a robust monocular depth estimation (MDE) model fine-tuned from DepthAnything-V2, designed for zero-shot depth estimation under diverse and challenging environmental conditions, ...

Abstract: Color-guided Depth map Super-Resolution (DSR) based on Convolutional Neural Networks (CNN) is a crucial technology to remedy the defects of mainstream commercial depth cameras and has made ...

Abstract: We propose a multi-view weakly-supervised 3D human pose estimation network for depth maps. In this network, we introduce the Sum of Gaussians (SoG) model to represent the human body and ...